Specifications Compared
| Spec | A100 | B200 |
|---|---|---|
| TDP | 400W | 1000W |
| VRAM | 40-80 GB | 192 GB |
| CUDA Cores | 6,912 | 18,432 |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | SXM, NVL |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 6.0, InfiniBand |
| Tensor Cores | 432 | 576 |
| FP16 Performance | 312 TFLOPS | 4,500 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 90 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 45 TFLOPS |
| INT8 Performance | 624 TOPS | 9,000 TOPS |
| Memory Bandwidth | 2,039 GB/s | 8,000 GB/s |
Performance Analysis
The B200 demonstrates overwhelming superiority in compute throughput: its FP16 performance reaches 4500 TFLOPS compared to the A100's 312 TFLOPS, a 14-fold increase that accelerates deep learning training and inference for half-precision models. FP32 performance follows suit at 90 TFLOPS versus 19.5 TFLOPS, enabling 4.6 times faster execution for precision-sensitive tasks. The addition of FP8 at 9000 TFLOPS on the B200 optimizes low-precision inference workloads.
Memory specifications further favor the B200: 192 GB HBM3e VRAM supports models exceeding the A100's 80 GB limit, while 8000 GB/s bandwidth versus 2039 GB/s sustains larger batch sizes and reduces data transfer bottlenecks in training pipelines. This combination minimizes out-of-memory errors and enhances overall throughput for memory-intensive applications.
Power consumption reflects these gains: the B200's 1000W TDP doubles the A100's 400W, demanding advanced cooling but delivering proportional performance density.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
B200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB suits cost-conscious deployments where 80 GB HBM2e VRAM suffices for models under that threshold. Its lower entry pricing from $0.89 per hour and average of $2.09 per hour across 27 offers provide better value than the B200's $1.71 per hour start and $4.60 average. Lower 400W TDP eases integration into existing data centers with moderate power budgets.
Legacy Ampere-optimized software benefits from the A100's maturity, avoiding Blackwell-specific adaptations.
When to Choose the B200 SXM
The B200 SXM excels in scenarios demanding extreme scale: 192 GB HBM3e VRAM handles massive models infeasible on the A100's 80 GB. Memory bandwidth of 8000 GB/s versus 2039 GB/s supports unprecedented batch sizes in training.
High-throughput needs favor its 4500 TFLOPS FP16 and 9000 TFLOPS FP8, ideal for frontier AI research despite the 1000W TDP and higher $4.60 per hour average pricing.
Use Cases
The B200's 4500 TFLOPS FP16 performance dwarfs the A100's 312 TFLOPS, accelerating large model training. Its 192 GB VRAM supports bigger batches than the A100's 80 GB.
FP8 performance of 9000 TFLOPS on the B200 optimizes efficient serving, paired with 8000 GB/s bandwidth for high throughput. The A100 lacks FP8 and trails in memory capacity.
Fine-tuning often fits within the A100's 80 GB VRAM at 312 TFLOPS FP16, but the B200's 192 GB and 4500 TFLOPS excel for larger datasets. Choice depends on model size and budget.
The B200's 8000 GB/s bandwidth and 192 GB VRAM handle high-resolution generation without bottlenecks, surpassing the A100's 2039 GB/s and 80 GB limits.
FP32 at 90 TFLOPS on the B200 provides 4.6 times the A100's 19.5 TFLOPS for simulations. Enhanced interconnects like PCIe 6.0 further boost multi-node scalability.
Frequently Asked Questions
Which GPU has more VRAM: A100 PCIe 80GB or B200 SXM?▾
The B200 SXM offers 192 GB HBM3e VRAM, exceeding the A100 PCIe 80GB's 80 GB HBM2e. This enables larger models on the B200. Bandwidth also favors the B200 at 8000 GB/s over 2039 GB/s.
How do A100 and B200 compare in FP16 performance?▾
The B200 achieves 4500 TFLOPS in FP16, 14 times the A100's 312 TFLOPS. This gap accelerates AI training significantly. FP32 follows at 90 TFLOPS versus 19.5 TFLOPS.
What are the cloud prices for A100 PCIe 80GB and B200 SXM?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.09 across 27 offers. B200 SXM begins at $1.71 per hour, averaging $4.60 across 13 offers. Availability tilts toward the A100.
Does the B200 support FP8, and how does it compare?▾
The B200 delivers 9000 TFLOPS in FP8, absent on the A100. This enhances low-precision inference efficiency. It complements the B200's FP16 dominance.
What is the power consumption difference between A100 and B200?▾
The A100 PCIe 80GB has a 400W TDP, while the B200 SXM requires 1000W. Higher power on the B200 correlates with superior performance metrics. Cooling needs scale accordingly.
Which GPU is better for large batch training?▾
The B200's 192 GB VRAM and 8000 GB/s bandwidth outperform the A100's 80 GB and 2039 GB/s for large batches. This reduces memory constraints in training loops.
Which is cheaper to rent, the A100 or the B200?▾
Cloud rental prices for both the A100 and B200 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the A100 have compared to the B200?▾
The A100 has 40 to 80 GB of HBM2e memory. The B200 has 192 GB of HBM3e memory.
Can I find A100 and B200 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the A100 and the B200?▾
The A100 uses the Ampere architecture (2020) while the B200 uses Blackwell (2024). The B200 delivers 14.4x the FP16 throughput and 3.9x the memory bandwidth of the A100.